Sensor Equipped Robot

Sensor-equipped robots are being developed to perform complex tasks in diverse environments, focusing on improving robustness, efficiency, and adaptability. Current research emphasizes the use of machine learning techniques, such as reinforcement learning and federated learning, to optimize robot control and decision-making based on sensor data from various sources (cameras, force/torque sensors, LiDAR, IMUs). These advancements are improving the capabilities of robots in applications ranging from industrial automation and environmental monitoring to search and rescue operations, driving progress in both robotics and AI.